Topic starter
07/06/2026 8:35 pm
TL;DR: AI identity security is being used to replace manual approvals, spreadsheet-driven privileged access, and quarterly reviews as SaaS and cloud permissions expand, according to SecurEnds. The real shift is not automation for its own sake, but the move from static identity controls to continuous risk-based governance that can keep pace with faster identity threats.
Editorial analysis by NHI Mgmt Group, based on content published by SecurEnds: “How AI is Impacting Identity Security and Privileged Access Management in 2026”.
Key questions
Q: What breaks when access reviews are only run on a fixed schedule?
A: Fixed-cycle reviews encourage repetition, not judgment.
Q: Why do excessive privileges create such a large identity security risk?
A: Because any identity with more access than it needs has a larger blast radius when credentials are stolen or sessions are abused.
Q: What are the signs that access governance is failing in practice?
A: The clearest signs are slow remediation, repeated rubber stamp access reviews, and missed permissions outside traditional HR linked systems.
Practitioner guidance
- Define which access decisions can be automated Separate provisioning, deprovisioning, review recommendations, and emergency escalation into different approval paths so AI does not inherit ambiguous authority.
- Baseline privileged behaviour across systems Create behaviour profiles for admins and high-risk users across SaaS, cloud, and internal systems so anomalies are judged against actual usage patterns.
- Reduce privilege creep in entitlement sets Review unused and excessive permissions regularly, then remove access that has no current operational justification before it becomes persistent risk.
Bottom line: AI identity security is being adopted because manual approvals and spreadsheet-based privileged access cannot keep pace with cloud-era permission growth.
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This topic was modified 2 days ago by NHI Mgmt Group
08/06/2026 8:11 am
Manual identity governance no longer matches cloud identity velocity: Quarterly reviews and ticket queues were designed for slower permission change, not for SaaS estates where access shifts continuously. Once privileges spread across dozens of systems, the control problem becomes one of timing, not just policy. The practical conclusion is that identity governance now needs continuous decisioning to stay relevant.
A few things that frame the scale:
- 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface, according to the Ultimate Guide to NHIs.
A question worth separating out:
Q: When should organisations combine AI with PAM instead of relying on manual reviews?
A: Organisations should combine AI with PAM when privileged activity is too frequent, too distributed, or too fast for manual monitoring to follow. AI is most useful when the problem is not policy absence but review latency, behavioural drift, and the need to prioritise the riskiest sessions first.
👉 Read our full editorial: AI identity security is overtaking manual IGA and PAM controls
This post was modified 2 days ago by NHI Mgmt Group